numpy.argwhere() in Python
numpy.argwhere() function is used to find the indices of array elements that are non-zero, grouped by element.
Syntax : numpy.argwhere(arr)
Parameters :
arr : [array_like] Input array.Return : [ndarray] Indices of elements that are non-zero. Indices are grouped by element.
Code #1 :
# Python program explaining# argwhere() function import numpy as geek # input arrayin_arr = [[ 2, 0, 7], [ 0, 5, 9]]print ("Input array : ", in_arr) out_arr = geek.argwhere(in_arr)print ("Output indices of non zero array element: \n", out_arr) |
Output:
Input array : [[2, 0, 7], [0, 5, 9]] Output indices of non zero array element: [[0 0] [0 2] [1 1] [1 2]]
Code #2 :
# Python program explaining# argwhere() function import numpy as geek # input arrayin_arr = geek.arange(8).reshape(4, 2)print ("Input array : ", in_arr) out_arr = geek.argwhere(in_arr>4)print ("Output indices greater than 4: \n", out_arr) |
Output:
Input array : [[0 1] [2 3] [4 5] [6 7]] Output indices greater than 4: [[2 1] [3 0] [3 1]]
